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Quantum Computing: An Applied Approach

  • Jack D. Hidary

Table of contents

  1. Front Matter
    Pages i-xix
  2. Foundations

    1. Front Matter
      Pages 1-1
    2. Jack D. Hidary
      Pages 11-16
    3. Jack D. Hidary
      Pages 17-36
    4. Jack D. Hidary
      Pages 37-44
  3. Hardware and Applications

    1. Front Matter
      Pages 45-45
    2. Jack D. Hidary
      Pages 47-60
    3. Jack D. Hidary
      Pages 95-130
    4. Jack D. Hidary
      Pages 131-188
    5. Jack D. Hidary
      Pages 189-197
  4. Toolkit

    1. Front Matter
      Pages 199-199
    2. Jack D. Hidary
      Pages 201-293
    3. Jack D. Hidary
      Pages 295-342
    4. Jack D. Hidary
      Pages 343-348
    5. Jack D. Hidary
      Pages 349-351
  5. Back Matter
    Pages 353-379

About this book

Introduction

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first work to bring these strands together in an updated manner. This work is suitable for both academic coursework and corporate technical training.

This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.

Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.

“Quantum Computing will change our world in unexpected ways. Everything technology leaders, engineers and graduate students need is in this book including the methods and hands-on code to program on this novel platform.”

—Eric Schmidt, PhD, Former Chairman and CEO of Google; Founder, Innovation Endeavors

Keywords

Quantum computing Quantum computers Quantum computation Superconducting qubits Qubits Quantum supremacy Quantum advantage Bristlecone IBM quantum Trapped ion Cirq QISkit Q# Shor’s algorithm Grover’s algorithm Quantum optimization Quantum machine learning Quantum AI

Authors and affiliations

  • Jack D. Hidary
    • 1
  1. 1.Alphabet XMountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-23922-0
  • Copyright Information Jack D. Hidary under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-23921-3
  • Online ISBN 978-3-030-23922-0
  • Buy this book on publisher's site